Download or read book INTELLECTUAL MULTI LEVEL SYSTEM FOR NEURO FUZZY AND COGNITIVE ANALYSIS AND FORECAST OF SCIENTIFIC TECHNOLOGICAL AND INNOVATIVE DEVELOPMENT written by Sergey Gorbachev and published by Infinite Study. This book was released on with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: The article is devoted to description of structure and operation algorithms of a multilevel intellectual system for analysis and forecast of scientific-technological and innovative development of objects and territories based on expert methods, trainable models of fuzzy logic and fuzzy cognitive analysis. The article analyses distinctions and advantages of the system in making forecast evaluation and scenarios of the dynamics of multidimensional feature objects and processes. The authors have built a neutrosophic cognitive map for interaction of technologies based on the results of foresight studies.
Download or read book Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2022-03-29 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers extended versions of papers presented at DoSIER 2021 (the 2021 Third Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during November 12–13, 2021). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Download or read book The Encyclopedia of Neutrosophic Researchers 3rd volume written by Florentin Smarandache and published by Infinite Study. This book was released on with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books.
Download or read book COMPUTER SCIENCE TECHNOLOGY AND APPLICATIONS written by SANDIP A. KALE and published by Infinite Study. This book was released on with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computer application and research trends are changing over a period of time. This scenario is quite interesting as industry 4.0 is moving towards automation field with the use of the internet of things, machine learning and data analytics. Hence, highly utilized advancements in computer technology have become the main focus of researchers, scientists, economists, industries and governments. This book comprises of eleven chapters about computer application and research areas to discuss latest issues and technologies. Interesting and important topics like fuzzy and cognitive, fuzzy classifier, neural network, data analytics, clustering and classification models, artificial intelligence, controller area network, kriative technologies, etc. are included in this book.
Download or read book Artificial Intelligence written by Sergei M. Kovalev and published by Springer Nature. This book was released on 2021-10-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical headings: cognitive research; data mining, machine learning, classification; knowledge engineering; multi-agent systems and robotics; natural language processing; fuzzy models and soft computer; intelligent systems; and tools for designing intelligent systems.
Download or read book Design of Fuzzy Cognitive Model of Mutual Influence and Connectivity of Innovative Technologies written by Sergey Gorbachev and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: The article is devoted to research and development of fuzzy cognitive model of mutual influence and connectivity of innovative technologies on the basis of synthesis of interdisciplinary research strategies -foresight methods based on logically transparent mechanisms of interpretation of the solution, expert weighting methods and neutrosophic cognitive maps. Neutrosophic cognitive map of mutual influence and connectivity of innovative technologies is constructed on the basis of data on the nature and intensity of these interactions, allowing to calculate the degree of influence of one or several concepts (technologies), taking into account their state, on the target indicator, and also calculate the fixed state of the concept system. The results of experimental verification and the multiplicative effect of the developed model on the data of expert surveys are described, under conditions of transition to the 6th technological order.
Download or read book Neuro fuzzy Methods in Cognitive Systems of Monitoring and Forecasting of Scientific and Technological Development of the Country written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: On the basis of many national and international research a neural network model of the trajectory of and techno-economic development, which allows to calculate the level and rate of fuel and energy is developed and the method of evaluating the effectiveness of technological innovation projects on a range of qualitative and quantitative parameters based on the construction of the neuro-fuzzy solution tree is proposed. The developed model, in addition to the promising project choosing, explains the decision making process in an understandable way, in the structure of the neuro-diagnostic decision rules "If ... then." Thus, this technique allows to determine the significance of the indicators (trends) of the formation of new technological cycles and to identify the reference parameters of the social dimension of the economy. Data received as a result of the intellectual analysis can be used by experts to assess the efficiency of the automated calculation of the effectiveness of technology projects in order to predict the scientific and technological development of the country and make necessary recommendations to the political and socio-economic spheres. Research results can be used both by private and public companies and organizations. This will help to assess and predict future changes, give proper recommendations to scientific institutions in key areas: such as security and counter-terrorism; living systems; nanosystem and materials Industry, information and telecommunication systems, advanced weapons, military and special equipment, management natural resources, transport, aviation and space systems, energy and energy efficiency.
Download or read book Neuro Fuzzy Architectures and Hybrid Learning written by Danuta Rutkowska and published by Physica. This book was released on 2012-11-13 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ ence of the human mind as a role model is clearly visible in the methodolo gies which have emerged, mainly during the past two decades, for the con ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.
Download or read book Neuro Fuzzy Techniques for Intelligent Information Systems written by Nikola K. Kasabov and published by Physica. This book was released on 1999-03-29 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises selected chapters that cover contemporary issues of the development and the application of neuro-fuzzy techniques. Developing and using neural networks, fuzzy logic systems, genetic algorithms and statistical methods as separate techniques, or in their combination, have been research topics in several areas such as mathematics, engineering, computer science, physics, economics and finance. Here the latest results in the fields are presented from both theoretical and practical point of view. The volume has four main parts. Part one presents generic techniques and theoretical issues while part two, three and four deal with practically oriented models, systems and implementations.
Download or read book Fuzzy Cognitive Maps for Applied Sciences and Engineering written by Elpiniki I. Papageorgiou and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to “concepts” bearing different states of activation depending on the knowledge they represent, and the “edges” denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation. During the last 10 years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results. The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge engineering. It comprehensively covers the state-of-the-art FCM modeling and learning methods, with algorithms, codes and software tools, and provides a set of applications that demonstrate their various usages in applied sciences and engineering.
Download or read book International Conference on Advanced Intelligent Systems for Sustainable Development written by Janusz Kacprzyk and published by Springer Nature. This book was released on 2023-06-09 with total page 995 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
Download or read book Neuro fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting written by Abeer Alshejari and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuro fuzzy Systems for Intelligent Scientific Computation written by Purdue University. Department of Computer Sciences and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book WIPO Technology Trends 2019 Artificial Intelligence written by World Intellectual Property Organization and published by WIPO. This book was released on 2019-01-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Download or read book Human Decision Making Behaviors in Engineering and Management A Neuropsychological Perspective written by Pin-Chao Liao and published by Frontiers Media SA. This book was released on 2022-12-05 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuro fuzzy bsp hierarchical system for time forecasting and fuzzy rule extraction dor data mining applicatons written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Esta dissertação investiga a utilização de um sistema Neuro-Fuzzy Hierárquico para previsão de séries e a extração de regras fuzzy em aplicações de Mineração de Dados. O objetivo do trabalho foi estender o modelo Neuro-Fuzzy Hierárquico BSP para a classificação de registros e a previsão de séries temporais. O processo de classificação de registros no contexto de Mineração de Dados consiste na extração de regras de associação que melhor caracterizem, através de sua acurácia e abrangência, um determinado grupo de registros de um banco de dados (BD). A previsão de séries temporais, outra tarefa comum em Mineração de Dados tem como objetivo prever o comportamento de uma série temporal no instante t+k (k? 1).O trabalho consistiu de 5 etapas principais: elaborar um survey dos principais sistemas e modelos mais utilizados nas aplicações de Mineração de Dados; avaliar o desempenho do sistema NFHB original em aplicações de Mineração de Dados; desenvolver uma extensão do modelo NFHB dedicado à classificação de registros em uma BD; desenvolver um novo modelo híbrido Neuro-Fuzzy Genético para o ajuste automático dos parâmetros do sistema dedicado a previsão de séries temporais; e o estudo dos casos. O estudo da área resultou num survey sobre os principais modelos para Mineração de Dados. São apresentados os modelos mais utilizados em tarefas de classificação e extração de regras tais como: redes neurais, árvores de decisão crisp e fuzzy, algoritmos genéticos, estatística e sistemas neuro-fuzzy. Na etapa de avaliação do modelo NFHB original, foi verificado que além do tradicional aprendizado dos parâmetros, comuns às redes neurais e aos sistemas neuro-fuzzy, o modelo possui as seguintes aracterísticas: aprendizado da estrutura, a partir do uso de particionamentos recursivos; número maior de entradas que o habitualmente encontrado nos sistemas neuro-fuzzy; e regras com hierarquia, características adequadas para as aplicações de Mineração de Dados. Entretanto, o processo de extração de regras e a seleção de atributos não são adequados para este tipo de aplicação, assim como a excessiva complexidade da parametrização do modelo para aplicações de previsão de séries temporais. Uma extensão ao modelo NFHB original foi então proposta para aplicações de classificação de registros no contexto da Mineração de Dados onde se têm como objetivo principal a extração de informação em forma de regras interpretáveis. Foi necessário modificar a seleção de atributos e o processo original de extração de regras. O sistema fuzzy do tipo Takagi-Sugeno do modelo NFHB original fornece regras inadequadas do ponto de vista da Mineração de Dados. O novo modelo NFHB, dotado das modificações necessárias, mostrou um ótimo desempenho na extração de regras fuzzy válidas que descrevem a informação contida no banco de dados. As medidas de avaliação normalmente usadas para analisar regras crisp (Se x1 é
Download or read book Converging Technologies for Improving Human Performance written by Mihail C. Roco and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.
